ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification

arXiv:2608.27150 · cs.NE, cs.AI, cs.CV · Submitted 2026-08-27 · Read on arXiv

cs.NE, cs.AI, cs.CV

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/EDGYOrganism/ANTShapes

Terminology

• Benchmarking — 25× in this paper · explained in 3 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Spiking Neural Networks (SNNs) — 2× in this paper · explained in 3 episodes
• Address Event Representation — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Credit assignment — 1× in this paper · explained in 3 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Principal Component Analysis — 1× in this paper
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Accelerated Analog Neuromorphic Computing
• Brain-inspired AI for Edge Intelligence: a systematic review
• Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
• Modelling and Simulation of Neuromorphic Datasets for Anomaly Detection in Computer Vision

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